ClickHouse Articles, Guides & Best Practices

Predictive maintenance data platform countdown: label, feature, score, act, forensics and measure across the horizons before and after a failure

Predictive Maintenance Data Platform: 6 Proven Horizons from Sensor to Work Order

How we build a predictive maintenance data platform as a countdown: ISA-95 asset model, ClickHouse telemetry, reviewed failure labels, scoring and an idempotent work-order loop.

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Demand forecasting pipeline for CPG organised by cadence: daily fact landing and reconciliation, weekly hierarchy, feature and forecast run, monthly backtest

Demand Forecasting Pipeline for CPG: 4 Proven Cadences from Retailer Feed to Reconciled Forecast

How we build a CPG demand forecasting pipeline by cadence: point-in-time facts, hierarchies and calendars, ClickHouse features, reconciled forecasts and a backtest gate.

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Model drift monitoring on ClickHouse: prediction log, label log, reference bins, daily aggregate states, signals, thresholds and routing

Model Drift Monitoring on ClickHouse: 4 Proven Signals, Thresholds Tied to Money

A model does not fail loudly. It keeps returning scores in the right range, the service stays green, and the business notices six weeks later that approval rates moved or fraud losses climbed. By then [...]

Metrics layer on dbt and MetricFlow: sources, marts, semantic models and metrics compiled into BI, notebook and decision API queries

Metrics Layer with dbt: 5 Proven Tests That Keep One Definition per Number

Ask three teams in the same company for last quarter's net revenue and you will usually get three numbers. Finance excludes returns booked after period close, marketing counts gross of discounts because that is what [...]

Feature store architecture on PostgreSQL, ClickHouse and Valkey: registry, two write paths, offline store, online store, prediction log and SLOs

Feature Store Architecture: 7 Proven Decisions on PostgreSQL and ClickHouse

A feature store architecture is three contracts, not a product. The first contract is that a feature has exactly one definition, one owner and one freshness promise. The second is that any training set can [...]

Polyglot Persistence: The Proven Case for 5 Data Models

Your transactional database is not failing you. It is doing precisely what it was engineered to do: take a write, make it durable, isolate it from every other write, and never lie about it. The [...]

BYOC Database Security: A Measurable Standard in 7 Domains

BYOC database security conversations usually stall on the same question: is this deployment secure? Asked like that, the question has no answer. A ClickHouse cluster or a PostgreSQL fleet running in your own AWS account [...]

Oracle Exadata Cost Optimization: Migrating to an Open Source Data Infrastructure Stack Without Compromising Performance, Scalability, Availability, or Reliability

MinervaDB whitepaper on Oracle Exadata cost optimization: measure Exadata license spend, optimize in place, then migrate to PostgreSQL 18, ClickHouse 26.3 LTS, Kafka/Debezium and Valkey with code, diagrams, TCO model and a rollback-safe cutover plan.

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Fractional Chief Data Officer reference data platform architecture spanning sources, ingestion, SQL, NoSQL, NewSQL, column stores, lakehouse storage, governance and consumption layers

Fractional Chief Data Officer: 7 Proven Real-Time Analytics Wins

A Fractional Chief Data Officer from MinervaDB gives an enterprise board-level data leadership — strategy, architecture, governance and operations — on a part-time, fixed-fee basis. When that mandate is pointed squarely at real-time analytics, the [...]

From Chaos to Clarity – Case Study of a Failed CDP Implementation

From Chaos to Clarity: Anonymized Case Study of a Failed CDP Implementation We Rescued Introduction: The Promise and Peril of Customer Data Platforms In today’s hyper-competitive digital landscape, businesses are increasingly turning to Customer Data […]

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